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### A 10,000-patient database that contains in total 10,000 patients, 36,143 admissions, and 10,726,505 lab observations. ###
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### Created by: Uri Kartoun, PhD, Copyright 2014
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**The Problem:** It is difficult and expensive to access Electronic Medical Records (EMRs) due to privacy concerns and technical problems. I am a student or a researcher working at a university that does not have yet an access to EMR system and I am interested in evaluating machine learning algorithms. Tedious bureaucracy. I am teaching a computer science course and I wish to let my 150 students to experiment with electronic medical records. Not possible due to privacy issues. I am in a process of founding a company focused on developing a new EMR management platform and I want to demonstrate to a venture capital company and to potential customers the ability of my product to handle big data. Current simulated medical databases are limited and are hard to configure.
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### A 10,000-patient database that contains in total 10,000 patients, 36,143 admissions, and 10,726,505 lab observations. ###
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### Created by: Uri Kartoun, PhD, Copyright 2014. ###
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#############################################################################################################################
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**The Problem:** It is difficult and expensive to access Electronic Medical Records (EMRs) due to privacy concerns and technical problems. I am a student or a researcher working at a university that does not have yet an access to EMR system and I am interested in evaluating machine learning algorithms. Tedious bureaucracy. I am teaching a computer science course and I wish to let my 150 students to experiment with electronic medical records. Not possible due to privacy issues. I am in a process of founding a company focused on developing a new EMR management platform and I want to demonstrate to a venture capital company and to potential customers the ability of my product to handle big data. Current simulated medical databases are limited and are hard to configure.
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